252 citations · 414 across the 21 of their papers we have counts for
6 papers · 1 filter
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems
Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng +1
Channel estimation is of great importance in realizing practical intelligent reflecting surface-assisted multi-user communication (IRS-MC) systems. However, different from traditio…
Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications
Chang Liu, Xuemeng Liu, Zhiqiang Wei +3
Existing tag signal detection algorithms inevitably suffer from a high bit error rate (BER) due to the difficulties in estimating the channel state information (CSI). To eliminate…
Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach
Chang Liu, Weijie Yuan, Zhiqiang Wei +2
Unmanned aerial vehicle (UAV)-assisted communication becomes a promising technique to realize the beyond fifth generation (5G) wireless networks, due to the high mobility and maneu…
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications
Xuemeng Liu, Chang Liu, Yonghui Li +2
Channel estimation is a challenging problem for realizing efficient ambient backscatter communication (AmBC) systems. In this letter, channel estimation in AmBC is modeled as a den…
Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications
Chang Liu, Zhiqiang Wei, Derrick Wing Kwan Ng +2
Tag signal detection is one of the key tasks in ambient backscatter communication (AmBC) systems. However, obtaining perfect channel state information (CSI) is challenging and cost…
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications
Chang Liu, Xuemeng Liu, Derrick Wing Kwan Ng +1
Channel estimation is one of the main tasks in realizing practical intelligent reflecting surface-assisted multi-user communication (IRS-MC) systems. However, different from tradit…